应用分割系数方法来预测普通农场动物的组织:血亲和关系:电离状态的影响
L S Lautz1, J-L C M Dorne2, A Punt1
1Wageningen Food Safety Research, Akkermaalsbos 2, Wageningen, WB 6708, the Netherlands.
Toxicology letters
|June 26, 2024
概括
基于生理学的动力学 (PBK) 模型预测了牲畜中的化学物质分布. 虽然牛,,绵羊和猪的组织组成相似,但预测准确性因方法和物种而异,突出显示需要进一步研究.
科学领域:
- 药理动力学 药理动力学
- 毒理学 毒理学 毒理学
- 动物科学动物科学
背景情况:
- 组织-血分区系数对于生理学基础的动力学 (PBK) 模型至关重要.
- 最初用于临床前物种的in silico方法现在应用于农场动物.
- 畜牧业的通用PBK模型需要准确的分区系数输入.
研究的目的:
- 收集动物 (牛,,绵羊,猪) 的特定物种组织组成数据.
- 为了预测化学分布和组织:这些物种的血分区系数.
- 为了评估不同的in silico预测方法的性能.
主要方法:
- 收集了牛,,绵羊和猪的特定物种组织组成数据.
- 在 silico 方法中使用 (Berezhkovskiy,Rodgers & Rowland,Schmitt) 来预测分区系数.
- 分析了化学类和物种的预测准确性和影响.
主要成果:
- 组织组成在四种牲畜中显示出高度相似性.
- 预测方法实现了71-80%的准确性,分区系数为10的系数.
- 贝雷赫科夫斯基的方法通常是可靠的,除了施密特的方法表现最好的猪.
结论:
- 在形方法提供合理的预测,在牲畜中的化学物质分布.
- 存在组织组成的小变化,可能会影响预测.
- 未来的研究应该专注于脂性和特定物种的蛋白质结合,以提高准确性.
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